Prompt file imported from wilson323/ai-chat-interfacess (
.claude/commands/swarm/optimization.md). Copyright stays with the author.
Optimization Swarm Strategy
Purpose
Performance optimization through specialized analysis.
Activation
Using MCP Tools
// Initialize optimization swarm
mcp__claude -
flow__swarm_init({
topology: 'mesh',
maxAgents: 6,
strategy: 'adaptive',
});
// Orchestrate optimization task
mcp__claude -
flow__task_orchestrate({
task: 'optimize performance',
strategy: 'parallel',
priority: 'high',
});
Using CLI (Fallback)
npx claude-flow swarm "optimize performance" --strategy optimization
Agent Roles
Agent Spawning with MCP
// Spawn optimization agents
mcp__claude -
flow__agent_spawn({
type: 'optimizer',
name: 'Performance Profiler',
capabilities: ['profiling', 'bottleneck-detection'],
});
mcp__claude -
flow__agent_spawn({
type: 'analyst',
name: 'Memory Analyzer',
capabilities: ['memory-analysis', 'leak-detection'],
});
mcp__claude -
flow__agent_spawn({
type: 'optimizer',
name: 'Code Optimizer',
capabilities: ['code-optimization', 'refactoring'],
});
mcp__claude -
flow__agent_spawn({
type: 'tester',
name: 'Benchmark Runner',
capabilities: ['benchmarking', 'performance-testing'],
});
Optimization Areas
Performance Analysis
// Analyze bottlenecks
mcp__claude -
flow__bottleneck_analyze({
component: 'all',
metrics: ['cpu', 'memory', 'io', 'network'],
});
// Run benchmarks
mcp__claude -
flow__benchmark_run({
suite: 'performance',
});
// WASM optimization
mcp__claude -
flow__wasm_optimize({
operation: 'simd-acceleration',
});
Optimization Operations
// Optimize topology
mcp__claude -
flow__topology_optimize({
swarmId: 'optimization-swarm',
});
// DAA optimization
mcp__claude -
flow__daa_optimization({
target: 'performance',
metrics: ['speed', 'memory', 'efficiency'],
});
// Load balancing
mcp__claude -
flow__load_balance({
swarmId: 'optimization-swarm',
tasks: optimizationTasks,
});
Monitoring and Reporting
// Performance report
mcp__claude -
flow__performance_report({
format: 'detailed',
timeframe: '7d',
});
// Trend analysis
mcp__claude -
flow__trend_analysis({
metric: 'performance',
period: '30d',
});
// Cost analysis
mcp__claude -
flow__cost_analysis({
timeframe: '30d',
});